South America
Mark Zuckerberg unveils Morgan Freeman-voiced AI assistant
FILE - In this Nov. 19, 2016, file photo, Mark Zuckerberg, chairman and CEO of Facebook, speaks at the CEO summit during the annual Asia Pacific Economic Cooperation (APEC) forum in Lima, Peru. Zuckerberg unveiled his new artificial intelligence assistant named "Jarvis" in a Facebook post on Dec. 19, 2016. FILE - In this Nov. 19, 2016, file photo, Mark Zuckerberg, chairman and CEO of Facebook, speaks at the CEO summit during the annual Asia Pacific Economic Cooperation (APEC) forum in Lima, Peru.
Microsoft India launches global research group to develop AI-powered eye care
Microsoft India is launching a research group that will leverage artificial intelligence to deliver large-scale eye care in collaboration with Hyderabad-based L V Prasad Eye Institute. The Microsoft Intelligent Network for Eyecare (MINE) will work with a consortium of research and technology institutions around the world, including the University of Miami, Federal University of Sao Paulo and Australia's Brien Holden Vision Institute. The idea is similar to Google DeepMind's project, which targets the UK and works with their National Health Services to use artificial intelligence to detect and treat blindness-causing eye diseases. India is a logical jumping-off point for the project, as it is home to some 55 million of the world's 285 million people living with vision impairment. Using Microsoft's cloud platform technology Cortana Intelligence Suite, MINE will collaborate and work from datasets of patients around the world to develop machine learning predictive models for vision impairment and eye disease, with the ultimate goal of eliminating avoidable blindness and scaling worldwide delivery of eye care services.
Known Unknowns: Uncertainty Quality in Bayesian Neural Networks
Oliveira, Ramon, Tabacof, Pedro, Valle, Eduardo
We evaluate the uncertainty quality in neural networks using anomaly detection. We extract uncertainty measures (e.g. entropy) from the predictions of candidate models, use those measures as features for an anomaly detector, and gauge how well the detector differentiates known from unknown classes. We assign higher uncertainty quality to candidate models that lead to better detectors. We also propose a novel method for sampling a variational approximation of a Bayesian neural network, called One-Sample Bayesian Approximation (OSBA). We experiment on two datasets, MNIST and CIFAR10. We compare the following candidate neural network models: Maximum Likelihood, Bayesian Dropout, OSBA, and --- for MNIST --- the standard variational approximation. We show that Bayesian Dropout and OSBA provide better uncertainty information than Maximum Likelihood, and are essentially equivalent to the standard variational approximation, but much faster.
A glimpse of Christmas future... Watch bizarre robot choir sing Mariah Carey's 'All I Want For Christmas'
ASUS put a choir of 10 Zenbo robots together for gadget's official launch The bots sang and danced to Mariah Carey's'All I Want For Christmas Is You' Pre-orders start Jan. 1 and units will cost between $620 and $780 ASUS put a choir of 10 Zenbo robots together for gadget's official launch The bots sang and danced to Mariah Carey's'All I Want For Christmas Is You' Pre-orders start Jan. 1 and units will cost between $620 and $780 A Chinese firm launched its new robot in a way that is sure to spread some holiday cheer. Ten Zenbos took the stage in Taiwan and wowed the audience by signing Mariah Carey's'All I Want For Christmas Is You' in a festive, and somewhat terrifying, spectacle The incredible eight storey vending machine that dispenses... Is your child lying to you about still believing in Santa?... Apple's iPhone 8 may have wireless charging that works up to... Check your Groupon account now! Hacks could mean millions of... The incredible eight storey vending machine that dispenses... Is your child lying to you about still believing in Santa?... Apple's iPhone 8 may have wireless charging that works up to... Check your Groupon account now! Hacks could mean millions of...
Microsoft And AI: Using Machine Learning, Artificial Intelligence To Diagnose Blindness
Hundreds of millions of people around the world suffer from visual impairment. A new program from Microsoft utilizes machine learning techniques and artificial intelligence to help diagnose and treat the condition, according to a report from Mashable. Earlier this year, Microsoft teamed with the not-for-profit LV Prasad Eye Institute (LVPEI) in India, which provided the computing giant with access to more than one million anonymized medical records. Those records were tossed into Microsoft's cloud-based machine learning program and processed. The data gave Microsoft the ability to look through and analyze a wide range of procedures, providing a better understanding as to why a certain operation is chosen and the results of different surgeries for the eye patients.
Microsoft translation app vaults over language barriers
At places like schools, hotels and tourist attractions, Microsoft Translator can help up to 100 people hold a live conversation in nine different languages. Imagine you're on a guided tour in Chartres cathedral in France along with tourists from Brazil, China, Russia and Germany -- but none of you speaks French. For the last few decades, you'd each need your own tour guide. A new app from Microsoft aims to flatten this multilanguage barrier, though. The Microsoft Translator app, running on your phone but relying on a network to Microsoft's servers, can translate your tour guide's words into eight other languages.
Convergence of Iterative Scoring Rules
Lev, Omer, Rosenschein, Jeffrey S.
In multiagent systems, social choice functions can help aggregate the distinct preferences that agents have over alternatives, enabling them to settle on a single choice. Despite the basic manipulability of all reasonable voting systems, it would still be desirable to find ways to reach plausible outcomes, which are stable states, i.e., a situation where no agent would wish to change its vote. One possibility is an iterative process in which, after everyone initially votes, participants may change their votes, one voter at a time. This technique, explored in previous work, converges to a Nash equilibrium when Plurality voting is used, along with a tie-breaking rule that chooses a winner according to a linear order of preferences over candidates. In this paper, we both consider limitations of the iterative voting method, as well as expanding upon it. We demonstrate the significance of tie-breaking rules, showing that no iterative scoring rule converges for all tie-breaking. However, using a restricted tie-breaking rule (such as the linear order rule used in previous work) does not by itself ensure convergence. We prove that in addition to plurality, the veto voting rule converges as well using a linear order tie-breaking rule. However, we show that these two voting rules are the only scoring rules that converge, regardless of tie-breaking mechanism.
Startup that Uses AI to Recreate Food Looks to Enter U.S. Market
SANTIAGO (Reuters) – A Chilean startup that has built artificial intelligence software to help recreate animal-based foods using plants is looking toward U.S. multinationals after signing deals at home to sell its products, the company's founders said. NotCo, founded around a year ago by three Chileans, has already persuaded Cencosud's Jumbo supermarkets to stock its'Not Mayo' across Chile, and has signed a deal to supply a national food manufacturer with one of its products, said Chief Executive Matias Muchnick. The company has also spoken to international companies including Hershey, Coca-Cola and Mars about creating new versions of chocolate and soda. "We want to promote these products as mainstream. It will only have an impact if meat-eaters who don't care about sustainability buy them," said Muchnick, adding that they can be retailed at the same price as the non-vegan version.
Dell retains PC sales leadership in Brazil
Dell remains the leader of the Brazilian PC market in the third quarter of 2016 across all segments. Leader for the seventh consecutive quarter, the company sold 24,5 percent of all personal computers to domestic users and also to small and medium enterprises as well as large organizations, according to IDC data released by the manufacturer. The company claims the biggest share of all desktops sold (22,7 percent of all units sold), notebooks ( 25,6 percent) and workstations (61,7 percent) during the period. The woes continue for the PC market as a slowdown in smartphone and tablet growth hasn't boosted sales. Enterprises continue to evaluate Windows 10. "[The leadership] reflects a strategy of brand expansion, the quality of our solutions and a complete equipment portfolio that addresses the most diverse needs of consumers in terms of performance, design and functionality," says Dell Brazil's vice president for end consumers and small businesses, Rosandra Silveira, in a statement.
Robots won't kill the workforce. They'll save the global economy.
The United Nations forecasts that the global population will rise from 7.3 billion to nearly 10 billion by 2050, a big number that often prompts warnings about overpopulation. Some have come from neo-Malthusians, who fear that population growth will outstrip the food supply, leaving a hungry planet. Others appear in the tirades of anti-immigrant populists, invoking the specter of a rising tide of humanity as cause to slam borders shut. Still others inspire a chorus of neo-Luddites, who fear that the "rise of the robots" is rapidly making human workers obsolete, a threat all the more alarming if the human population is exploding. They may be the one thing that can protect the global economy from the dangers that lie ahead.